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What do You Want to
Watch? Smart Shared Watching

Abstract

Disclosed
is a smart shared watching system that identifies users in proximity to a media
device, analyzes preferences and criteria, reviews available content, and then
automatically outputs a list of viewing options that are satisfactory and
appropriate for all users.

A
group of people or a family often have difficulty deciding what television show
to watch together. Each person preferences, some also have restrictions (e.g.,
children should not watch violence, etc.).

Current systems related to personalized movie watching do not
consider that often a whole family is watching at the same time and everyone
has to agree on the selection. Another system has a feature that uses regional
viewing trends and an individual user's preferences to offer tailored entertainment
recommendations categorized by genre. This is for individual users and does not
take into consideration that there are multiple users in the room at the time,
each with unique preferences.

A
method or system is needed to determine, in a smart way, the most appropriate
viewing choice(s) given the needs of the collective audience.

The
novel solution is a smart shared watching system. The system identifies all the
people that are in the room with a given media player (e.g., television, audio
player, etc.) and reviews the preferences and requirements for everyone present.
The preferences for some users are more important than those of others, and
might be more heavily weighted. In addition to the stated/known preferences of
each of the observed users, the system also considers additional user-specific
criteria when determining what content to watch, such as time-constraints (e.g.,
children go to bed earlier than adults, so children’s content should be more
strongly weighted when it is available and children are present). The system
identifies the common interests along with the other criteria and then reviews
the viewing options (e.g., on-demand, recorded, live shows, etc.). The output
is a list of show(s) that are appropriate for everyone present.

Figure: High-level process flow

The
system performs recognition of the specific persons in proximity of screen
using any of the following: